Cedars-Sinai Medical Center (Smidt Heart Institute) / Ouyang Lab
Automates standard echocardiographic measurements from video, pairing a measurement model with a companion segmentation component. Developed by Stanford and Cedars-Sinai's Ouyang lab; public documentation on the exact measurements covered, training data, and validation performance is limited compared to other EchoNet-family models.
Architecture
Hybrid
Video-based automated echocardiographic measurement model, plus a companion segmentation component (architecture details not fully specified in the repository at time of scraping)
Framework
PyTorch
Added to catalog
2026-07-10
Cedars-Sinai Medical Center Echocardiography Dataset
CSMC (Cedars-Sinai Medical Center) clinical echocardiography cohort: 877,983 individual sonographer measurements spanning 9 B-mode and 9 Doppler measurement types, drawn from 155,215 studies.
Automated standard echocardiographic measurements (chamber dimensions and related structural quantities); exact measurement list not publicly documented